HP HP Pavilion Laptop 15-cs1xxx
Geekbench AI Score
1852
Single Precision Score
2015
Half Precision Score
1413
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Dulaso1 |
| Upload Date | August 21 2025 10:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion Laptop 15-cs1xxx |
| Motherboard | HP 84C1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.1 IPS |
|
|
Image Classification (Q)
|
99% |
389
72.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
954
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8698
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5917
6.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
7322
8.58 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (Q)
|
83% |
525
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1747
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
1000
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3693
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3682
28.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
3037
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17301
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11050
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13681
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3313
122.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2939
108.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2222
82.3 IPS |
|
|
Text Classification (SP)
|
100% |
734
979.1 IPS |
|
|
Text Classification (HP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
426
571.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1215
21.0 IPS |
|
|
Machine Translation (Q)
|
70% |
567
10.6 IPS |
